Machine Learning-based Design of Proteins and Small Molecules

Jennifer Listgarten, Phd, Professor, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley

With the advent of more and more high-throughput technologies to measure protein properties of interest such as binding, expression, fluorescence, the time for machine learning to act synergistically with protein design is here.  I will describe our work on accelerating the design/optimization of proteins (and small molecules) with machine learning approaches--- a sort of silico approach to the method of Directed Evolution which won the 2018 Nobel prize in Chemistry. 

Social hour following: 4-5pm